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Latest MCP Servers

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Vist Notes, Tasks And Agent Memory Via Mcp
@Vist

A shared Second Brain for you and your LLMs. Notes, tasks, project context, and a growing knowledge base, perfectly synced. Vist is a multi-tenant, privacy-first Second Brain built specifically for the age of AI. Unlike traditional note-taking apps that silo your data, Vist exposes your entire workspace (notes, tasks, agent memories, and project state) directly to your LLMs via the Model Context Protocol (MCP). When you connect Vist to your favorite AI agent, it gains a persistent memory of your work. It can proactively read your project notes, manage your todo lists, update its own agent-specific context, and search your knowledge base — all in real time. Key Capabilities: * Unified Workspace: Seamlessly interlink Markdown-rich notes and task lists. * Agent Memories: AI models read and write typed memories — decision_log, learned_facts, active_context, and project_state — so they never lose context between sessions. Query memory semantically to surface exactly what's relevant. * LLM Wiki: Agents can create and update structured wiki pages directly in your knowledge base. Over time, your workspace becomes a living reference - built by you and your AI, together. * Full-Text & Semantic Search: Agents query your entire knowledge base instantly to find relevant facts, past decisions, or prior work. * Interactive UI Cards: Rich MCP App integrations - like rendering an interactive Task List UI directly inside the chat window. Vist bridges the gap between human thought and AI execution, ensuring everything is linked, transparent, and effortlessly flows together.

2 hours ago
Klura
@klura-ai

4 hours ago
Docrocket

6 hours ago
Docrocket

6 hours ago

Featured MCP Servers

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Tavily Mcp
@tavily-ai

JavaScript
a year ago

Featured MCP Clients

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Latest MCP Clients

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VIDEO-TO-CLAUDE

2 days ago
PASTEAI

4 days ago
E2EASY

7 days ago
ENTRANS

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SOCIAL-API.AI

19 days ago
SILVIA-MCP

19 days ago
ENCONVERT-MCP

20 days ago
@ENCONVERT/MCP

20 days ago
@ENCONVERT/MCP

20 days ago
PDFCHECK-MCP

21 days ago

FAQ

Frequently Asked Questions about MCP Server

1

What is MCP (Model Context Protocol)?

MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.

2

What is MCP Server?

MCP Server is a system that provides context, tools, and prompts to AI clients. It can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.

3

How do MCP Server work?

MCP Server work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.

4

What can MCP Server provide?

MCP Server can share resources (files, docs, data), expose tools (API integrations, actions), and provide prompts (templated interactions). They control their own resources and maintain clear system boundaries for security.

5

How does Claude use MCP?

Claude can connect to MCP server to access external data sources and tools, enhancing its capabilities with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.

6

Is MCP Server secure?

Yes, security is built into the MCP protocol. Server controls its own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.

7

What is mcp.so?

mcp.so is a community-driven platform that collects and organizes third-party MCP Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications.

8

How can I submit my MCP Server to mcp.so?

You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.